Green Development Management Studies

Green Development Management Studies

From Green Intellectual Capital to Green Supply Chain Performance: The Moderating Role of Big Data Analytics Capabilities

Document Type : Original Article

Author
Masoome Arabshahi
Department of Management, Faculty of Administrative Sciences, Imam Reza International University, Mashhad, Iran
10.22077/jgdms.2025.8978.1269
Abstract
Introduction
The escalation of global environmental exigencies has compelled organizations to integrate sustainability into core strategic frameworks, particularly within supply chain management (SCM). Concurrently, the transition from physical-asset-based economies to intellectual-capital-driven models emphasizes that sustainable competitive advantage now hinges on the identification and deployment of intangible resources. In this paradigm, Big Data Analytics (BDA) acts as a critical enabler, transforming voluminous, fragmented data into actionable insights that optimize coordination and efficiency across supply chain nodes. Despite this, empirical evidence linking specific dimensions of “Green Intellectual Capital” (GIC)—human, structural, and relational—to “Green Supply Chain Performance” (GSCP) remains fragmented. This study addresses this gap by investigating the direct effects of GIC on GSCP, while critically examining the moderating influence of BDA capabilities. By exploring this nexus, we provide a sophisticated understanding of how technological infrastructure amplifies the strategic value of intellectual resources in the pursuit of environmental sustainability.
 
Methodology
Adopting a descriptive-correlational design, this study utilizes a survey-based methodology to examine small and medium-sized enterprises (SMEs) in Iraq. A sample of 280 managers and senior executives was selected via convenience sampling. The research instrument comprised a standardized questionnaire adapted from Al-Khatib and Shohiber (2022), operationalizing GIC dimensions, BDA capability, and GSCP. To ensure rigor, the measurement model was validated through Confirmatory Factor Analysis (CFA), assessing convergent validity via Average Variance Extracted (AVE > 0.5) and divergent validity via the Fornell-Larcker criterion. Internal consistency was confirmed through Cronbach’s alpha and Composite Reliability (CR) metrics. The theoretical model was evaluated using Structural Equation Modeling (SEM) within SmartPLS 3, ensuring a robust statistical foundation for hypothesis testing.
 
Findings
The empirical analysis reveals a highly significant predictive relationship between GIC and GSCP (R² = 0.701), confirming that intellectual capital is a primary determinant of environmental supply chain outcomes. Specifically, Green Relational Capital (t=4.336) and Green Structural Capital (t=4.166) demonstrate the most robust direct effects, followed by Green Human Capital (t=2.541). Crucially, the analytical results unveil differential moderating effects of BDA: while BDA capability significantly amplifies the impact of Green Human and Relational capital on GSCP, it displays a limited moderating role regarding Green Structural capital. This nuance suggests that while BDA facilitates the agility required for human and network-based interactions, the rigid, entrenched nature of organizational structures may act as a buffer against real-time data-driven optimization.
 
Discussion and Conclusion
The findings advance the literature by delineating how GIC dimensions synergistically enhance environmental performance. The positive, significant impact of human, structural, and relational green capital confirms that sustainability must be embedded across the tripartite pillars of organizational life: people, infrastructure, and partnerships. The moderating role of BDA signifies that in the era of “Industry 4.0,” technological capability is not merely an operational tool but a strategic catalyst that magnifies the efficacy of human and network capital. However, the non-significant moderation for structural capital is a pivotal analytical finding. It suggests that organizational structure—comprising culture, formal processes, and standardized routines—possesses an inherent inertia. Unlike the fluidity of human intelligence and relational networks, structural capital may require transformation-oriented leadership rather than data-driven adjustments to improve sustainability. Managerially, this study suggests that Iraqi SMEs should prioritize a two-pronged strategy: first, cultivating green intellectual capital to build a foundation for sustainability; and second, investing in BDA to unlock the potential of that capital. Companies are encouraged to foster sustainable partnerships and employee environmental training, while remaining cognizant that structural adjustments require longer-term, cultural commitment. Future research should investigate specific mediating mechanisms—such as organizational agility or knowledge management processes—to further decipher how BDA intersects with different layers of corporate capital in various industrial and geopolitical contexts.
Keywords
Green Supply Chain Performance
Green Human Capital
Green Structural Capital
Green Relational Capital
Big Data Analytics Capability
Subjects
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Green Development Management Studies
Volume 5, Issue 2 - Serial Number 12
Spring 2026
Pages 111-130

  • Receive Date 18 February 2025
  • Revise Date 29 April 2025
  • Accept Date 27 May 2025